Tech Lead, Cloud Strategy

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The Tech Lead Cloud Strategy is a technical leadership role within the Platform Engineering team responsible for delivering cross-functional strategic initiatives that accelerate business on AWS. This role requires deep hands-on expertise in AWS services Python CI/CD Infrastructure as Code and specially AI-oriented platform capabilities (managed runtimes registries tool discovery orchestration frameworks). The Tech Lead sets technical direction through architecture decisions code reviews engineering and security standards and mentorship within an existing team.

Your day-to-day

AI Platform Capabilities

• Architect and implement managed runtime environments for AI workloads on AWS.
• Build service registries with semantic discovery and gateway integrations.
• Integrate LLM providers (e.g. AWS Bedrock) and orchestration frameworks (e.g. LangGraph Strands or equivalent).
• Implement communication protocols (MCP A2A) for tool discovery and service-to-service interaction.
• Develop Python platform code: runtime handlers SDK integrations configuration management and developer-facing templates.

Platform Engineering & Infrastructure

• Build and maintain declarative infrastructure using IaC tools (e.g. Crossplane Terraform) with GitOps-friendly patterns.
• Implement GitOps workflows (e.g. Argo CD Flux) for continuous reconciliation and environment promotion.
• Design and operate CI/CD pipelines (GitHub Actions Jenkins) with security gates: SAST SCA container scanning and automated deployment.
• Build and deploy containerized services on AWS (ARM64/Graviton ECR multi-arch Docker builds).
• Implement observability (tracing metrics structured logging) using OpenTelemetry as the instrumentation framework and backend tools such as CloudWatch X-Ray Elastic New Relic or equivalent.

Cross-Functional End-to-End Delivery

• Collaborate with product owners developers operations and security to deliver integrated solutions.
• Drive initiatives from architecture through production deployment maintaining quality and timelines.
• Identify and resolve delivery bottlenecks across teams.
• Translate business requirements into platform capabilities that reduce cognitive load for consuming teams.

Technical Leadership

• Set technical direction and make architecture decisions for the teams initiatives.
• Conduct code reviews and define engineering standards.
• Mentor engineers on cloud-native patterns AI infrastructure and platform engineering.
• Lead proof-of-concepts and technical assessments for new technologies.
• Evaluate build-vs-buy decisions aligned with organizational goals.

Collaboration and Communication

• Partner with stakeholders to align initiatives with business priorities.
• Act as subject matter expert in cloud and AI platform engineering during cross-functional planning.
• Produce architecture decision records technical documentation and runbooks.

Who are we looking for

• Bachelors degree in Computer Science Engineering or equivalent practical experience.
• 7 years in cloud/platform engineering
  • • AI/ML platforms: Hands-on with at least one managed runtimes LLM orchestration frameworks (LangGraph LangChain Strands CrewAI) service registries or model serving infrastructure.
    • AWS (deep): IAM ECR Lambda VPC CloudWatch X-Ray Secrets Manager KMS API Gateway Bedrock.
    • Python: Production-grade async patterns SDK integrations framework internals. Not scripting.
    • Infrastructure as Code: Crossplane Terraform Pulumi or equivalent. Declarative GitOps-friendly patterns.
    • CI/CD: GitHub Actions or equivalent. Multi-stage pipelines with security scanning container builds automated deployment.
    • Containers & Kubernetes: Docker (multi-arch/ARM64) ECR Kubernetes resource model.
    • GitOps: Argo CD Flux or equivalent. Continuous reconciliation manifest management environment promotion.
    • Observability: OpenTelemetry distributed tracing structured logging production monitoring.
    • Cross-functional collaboration and end-to-end solution delivery.
• Orchestration patterns: runtime registries tool/service discovery (MCP protocol) A2A communication.
• Workflow orchestration: Step Functions or similar for provisioning workflows.
• Security: SigV4 Cedar/OPA policies container vulnerability scanning (Polaris Snyk Trivy).
• Developer experience: self-service platforms golden path templates.
• Cloud security governance and compliance standards.
• Strong problem-solving skills and ability to translate technical concepts into business value.
• Certifications (Preferred):
  • AWS Solutions Architect Professional or AWS DevOps Engineer.
  • CKA/CKAD (Certified Kubernetes Administrator/Developer).

For Poland:In this position you will earn no less than 27 300 PLN gross per month

Relocation support is notavailable for this job

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